Data Platform Engineer

We fundamentally believe that today’s product needs to be designed with minimal support in mind. We are seed stage startup bringing product context to support reps to eliminate escalations and drive efficiency.

The Co-founders are technology leaders with decades of experience solving the most pressing problems facing enterprises. At TheLoops, we:

Lead with curiosity: open to ask & learn with clear communication and respect for each other
Learn by making: we iterate fast to deliver tangible solution with humility
Listen to the Loop: map our path to success and measure it with autonomy and empathy

Company Culture
Loops embraces a hardworking, passionate, and inquisitive culture where asking questions and learning fosters growth to build great things. Open communication, empathy and mutual respect are key to our team and the customers we serve. We work tirelessly to provide a top-notch solution while iterating to keep our product relevant and best-in-class.

As a member of our Data Platform team, you’ll work with a team of software engineers, data scientists and business analysts to turn complex data sources into understandable information. The data sets, pipelines and tools that you build will be critical to our product design and our customers' success. You will be working with a team that values constant learning and team-wide knowledge sharing as a core part of our culture.

Responsibilities

• Design, build and maintain data processing pipelines using event driven architecture
• Define API's and Micro Services used by other teams and integrators
• Batch processing of data retrieval, storage and processing
• Develop automated processes for CI/CD and continuous testing of components.
• Continuous improvement of our system, tests, and data quality indicators
• Influence our technical decisions
• Keep yourself informed and up-to-date with technologies and encourage the technical growth of your teammates

Engineering Type

• Back-End
• ETL

Tech Stack

• Java
• Kubernetes
• Kafka
• SQL
• AWS
• Google Cloud Platform
• ML

Compensation: $150k - $180k